The patient perspective on the preoperative colorectal cancer care pathway and preparedness for surgery and postoperative recovery-a qualitative interview study

Anne C M Cuijpers,Tim Lubbers, Heleen A van Rens,Valerie Smit-Fun, Christel Gielen, Kim Reynders,Merel L Kimman,Laurents P S Stassen

JOURNAL OF SURGICAL ONCOLOGY(2022)

引用 2|浏览2
暂无评分
摘要
Background and Objectives This study aimed to explore colorectal cancer (CRC) patients' perspectives and experiences regarding the preoperative surgical care pathway and their subsequent preparedness for surgery and postoperative recovery. Methods CRC patients were recruited using purposive sampling and were interviewed three times (preoperatively, and 6 weeks and 3 months postoperatively) using semistructured telephone interviews. Interviews were audiotaped, transcribed verbatim and analysed independently by two researchers using thematic analysis with open coding. Results Data saturation was achieved after including 18 patients. Preoperative factors that contributed to a feeling of preparedness for surgery and recovery were patient-centred- and professional healthcare organization, sincere and personal guidance, and thorough information provision. Postoperatively, patients with complications or physical complaints experienced unmet information needs regarding the impact of complications and what to expect from postoperative recovery. Conclusions The preoperative period is a vital period to prepare patients for surgery and recovery in which patients most value personalized information, personal guidance and professionalism. According to CRC patients, the feeling of preparedness for surgery and recovery can be improved by continually providing dosed information. This information should provide the patient with patient-tailored perspectives regarding the impact of (potential) complications and what to expect during recovery.
更多
查看译文
关键词
colorectal cancer surgery, patient experiences, patient perspective, preparedness for surgery and postoperative recovery, preoperative cancer care
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要